Can a deep learning model based on intraoperative time-series monitoring data predict post-hysterectomy quality of recovery?

BACKGROUND: Intraoperative physiological monitoring generates a large quantity of time-series data that might be associated with postoperative outcomes. Using a deep learning model based on intraoperative time-series monitoring data to predict postoperative quality of recovery has not been previousl...

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Detalles Bibliográficos
Autores principales: Zhao, Xu, Liao, Ke, Wang, Wei, Xu, Junmei, Meng, Lingzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022389/
https://www.ncbi.nlm.nih.gov/pubmed/33820562
http://dx.doi.org/10.1186/s13741-021-00178-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022389/
https://www.ncbi.nlm.nih.gov/pubmed/33820562
http://dx.doi.org/10.1186/s13741-021-00178-4

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